Logo

Mathematical Principals of Dynamic Systems and the Foundations of Quantum Physics

Mathematical Principals of Dynamic Systems and the Foundations of Quantum Physics
by

Publisher: arXiv
Number of pages: 87

Description:
This article will take up the question of what underlies the quantum formalism, whether it can be derived from simpler mathematical structures, and if so, what physical properties a system must possess in order for the formalism to hold. Of particular interest will be the question of determining the set of allowed experiments.

Home page url

Download or read it online for free here:
Download link
(670KB, PDF)

Similar books

Book cover: Chaos: Classical and QuantumChaos: Classical and Quantum
by - ChaosBook.org
This is a graduate textbook on classical and quantum chaos, applicable to problems of physics, chemistry and other sciences. It represents an attempt to formulate the subject as one of the cornerstones of the graduate physics curriculum of future.
(11545 views)
Book cover: Lectures on Topics In One-Parameter Bifurcation ProblemsLectures on Topics In One-Parameter Bifurcation Problems
by - Tata Institute of Fundamental Research
This set of lectures gives a synthetic exposition for the study of one-parameter bifurcation problems. By this, we mean the analysis of the structure of their set of solutions through the same type of general arguments in various situations.
(5381 views)
Book cover: A Short Introduction to Classical and Quantum Integrable SystemsA Short Introduction to Classical and Quantum Integrable Systems
by
An introduction to integrable systems. From the table of contents: Integrable dynamical systems; Solution by analytical methods; Infinite dimensional systems; The Jaynes-Cummings-Gaudin model; The Heisenberg spin chain; Nested Bethe Ansatz.
(7785 views)
Book cover: Variational Modelling: Energies, gradient flows, and large deviationsVariational Modelling: Energies, gradient flows, and large deviations
by - arXiv
The notes describe the methodology called Variational Modelling, and focus on the application to the modelling of gradient-flow systems. I describe the methodology itself in great detail, and explain why this is a rational modelling route.
(5134 views)